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<h1>Contents
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<h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>SimpleGabor Toolbox - Simple (Multiresolution) Gabor feature</strong></div>

<h2><a name="_synopsis"></a>SYNOPSIS <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>This is a script file. </strong></div>

<h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="fragment"><pre class="comment"> SimpleGabor Toolbox - Simple (Multiresolution) Gabor feature
 extraction

 Version 1.0

 Feature extraction interface
   sg_version               - Version string for SimpleGabor toolbox
   sg_createfilterbank      - Creates Gabor filter bank 
   sg_filterwithbank        - Gabor filtering with filterbank
   sg_resp2samplematrix     - Convert response structure to matrix
   sg_normalizesamplematrix - Normalises the sample matrix (see [2] for usage)
   sg_rotatesamples         - Rotates sample matrix (see [2] for usage)
   sg_scalesamples          - Scales sample matrix (see [2] for usage)

 Internal interface (some used in verbose mode)
   sg_createfilterf2.m      - Creates a 2-d Gabor filter in the frequency domain
   sg_plotfilters2          - Displays Gabor filter bank
   sg_solvefilterparams     - Solve Gabor filter parameters (see [1])
   getargs                  - Parse variable argument list into a struct

 Special features
   sg_filterwithbank2       - Gabor filtering with filterbank
                              (only effective size responses) 

 Demos
   sg_demo01                - A simple demo presenting Gabor feature
                              computation

 References:
   [1] Ilonen, J., Kamarainen, J.-K., K�vi�nen, H., Efficient
   Computation of Gabor Features, Research Report 100,
   Lappeenranta University of Technology, Department of
   Information Technology, 2005.
   [2] Ilonen, J., Kamarainen, J.-K., Paalanen, P., Hamouz, M.,
   Kittler, J., K�vi�nen, H., Image feature localization by
   multiple hypothesis testing of Gabor features, IEEE
   Transactions on Image Processing 2008.

 Authors:
    Jarmo Ilonen &lt;Jarmo.Ilonen@lut.fi&gt; 2004
    Joni Kamarainen &lt;Joni.Kamarainen@lut.fi&gt; 2007

 Note:
   For 1-D filtering you may use the depricated Gabor toolbox at:
   http://www.it.lut.fi/project/gabor/downloads/src/gabortb/
   The toolbox can be used also with 2-D signals, but it is
   computationally much slower than this (see [1])!

 Copyright:

   The GMMBayes Toolbox is Copyright (C) 2003, 2004, 2005, 2006,
   2007, 2008 by Jarmo Ilonen and Joni Kamarainen.

   The software package is free software; you can redistribute it
   and/or modify it under terms of GNU General Public License as
   published by the Free Software Foundation; either version 2 of
   the license, or any later version. For more details see licenses
   at http://www.gnu.org

   The software package is distributed in the hope that it will be useful,
   but WITHOUT ANY WARRANTY; without even the implied warranty of
   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
   See the GNU General Public License for more details.

   As stated in the GNU General Public License it is not possible to
   include this software library or even parts of it in a proprietary
   program without written permission from the owners of the copyright.
   If you wish to obtain such permission, you can reach us by mail:

      Department of Information Processing
      Lappeenranta University of Technology
      P.O. Box 20 FIN-53851 Lappeenranta
      FINLAND

  and by e-mail:

      jarmo.ilonen@lut.fi
      joni.kamarainen@lut.fi

  Please, if you find any bugs contact authors.

  Project home page: http://www.it.lut.fi/project/simplegabor/

   $Name: V_1_0_0 $ $Revision: 1.1 $  $Date: 2007-11-23 08:53:11 $</pre></div>

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<h2><a name="_cross"></a>CROSS-REFERENCE INFORMATION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
This function calls:
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This function is called by:
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